Aberration Corrected S/TEM Domain Expert/Research Specialist

Massachusetts, United States
09 Dec 2020
End of advertisement period
07 Feb 2021
Contract Type
Part Time

Working at MIT offers opportunities, an environment, a culture – and benefits – that just aren’t found together anywhere else. If you’re curious, motivated, want to be part of a unique community, and help shape the future – then take a look at this opportunity.

ABERRATION CORRECTED S/TEM DOMAIN EXPERT/RESEARCH SPECIALIST, MIT.nano (temporary, part-time, 50%), to join the state-of-the-art electron microscopy shared experimental facilities (SEF). Will support the operation of the Characterization.nano imaging and analysis facility with capabilities for a broad range of applications and sample preparation for electron microscopy. The main responsibility will be to assist users in the day-to-day operations of the probe corrected Themis Z Scanning Transmission Electron Microscope (STEM) equipped with an ultrahigh energy resolution monochromator, 4D STEM detector, Super-X EDS detector, tomography, and in situ holders. The position involves extensive collaboration with MIT internal and external users for experimental design, training, experiment execution, TEM sample preparation, data analysis, and development of new methodologies. Will report directly to the assistant director of user services (Characterization.nano) and the MIT.nano faculty and operation leadership. The MIT.nano facility is in the early days of its operation and it is likely that the responsibilities will evolve as the facility grows.

Job Requirements

REQUIRED: bachelor’s degree in material science or similar scientific discipline; at least four years’ TEM/STEM imaging research experience; strong working knowledge of TEM theory and data analysis; full proficiency operating aberration corrected S/TEM and with analytical microscopy; knowledge of TEM sample preparation techniques; proven ability to independently design, execute, and optimize microscopy experiments; ability to work independently and collaborate as part of a team with a diverse group of researchers, including providing training and services; excellent organizational, troubleshooting, critical thinking, interpersonal, and oral and written communication skills; attention to detail; and willingness to learn and perform a wide range of tasks.

PREFERRED:  master’s degree, data management expertise, and Python and/or MATLAB programming experience. 

Job #19135

This is a temporary, part-time (50%) position. Schedule to be determined.

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